Change Agent x3
Typical Day in Role:
• Participate in the Data Remediation Audit Program, which is a key Program at the Bank, through leading and performing data risk effective challenge and oversight over data related controls implemented by the first line of defense
• Provide expertise and advice to the first line of defense on effective design and implementation of data risk controls, metrics, compliance, and risk mitigation activities
• Through second line testing: execute risk assessments, document findings, and conduct analysis of the remediation plans in a timely manner
• Exercise sound judgment in reporting and escalating risks or issues to senior management
• Monitor and report progress of assessment execution to required internal stakeholders
• Support in the delivery and execution of the Data Risk Management Program, as required
• Identify opportunities and execute enhancements to the data risk oversight program
• Foster an inclusive and collaborative team environment, and prioritize team’s goals
• Champion a high-performance environment and contribute to an inclusive work environment
• Develop strong partnership and work in close alignment with other risk functions and business partners to provide professional advice and guidance
Candidate Requirements/Must Have Skills:
1) 8+ years’ experience in internal control, risk management, compliance, data management, data governance, audit and/or related areas
2) 3+ years of experience in testing (audit testing, risk assessments, etc.), including leading and management of testing engagements and issue resolution
3) Knowledge of Data Management best practices and concepts (e.g., maturity models, data quality, metadata, financial data reconciliation, data lineage, data glossaries, etc.)
4) Most recently in a senior manager, experienced manager, or equivalent role
Nice-To-Have Skills:
1) FI experience
3) SharePoint experience
Soft Skills Required:
• Strong analytical and pragmatic problem-solving skills
• Adaptability and ability to manage ambiguity
• Curious and proactive learner able to solve complex problems, multi-task and manage changing priorities
• Attention to detail and accuracy
Education:
• Post-Secondary education and Advanced degree preferred but not mandatory in data analytics.